Anew Direction-of-Arrival Estimation Method Exploiting Signal StructureInformation
Anew Direction-of-Arrival Estimation Method Exploiting Signal StructureInformation
复制标题
一种利用信号结构信息的新到达方向估计方法
DOI：
10.1007/s11045-015-0339-2
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Fengxia Yan
中科院分区：
文献类型：
--
作者：
Bo Lin;Jiying Liu;Meihua Xie;Jubo Zhu;Fengxia Yan
提出了一种基于均匀线阵采样的DOA估计新方法--稀疏性和时间相关性利用（SaTC-E）。SaTC-E算法充分利用源信号的空间稀疏性和时间相关性等结构信息，通过块稀疏贝叶斯学习方法和网格细化策略实现了上级DOA估计。SaTC-E适用于时变流形情形，如宽带源、时变阵列，前提是阵列流形矩阵是可确定的。该方法具有上级分辨率高、只需要少量快拍、不需要知道源个数、适用于时空校正源等优点。通过真实的数据测试和数值模拟，验证了SaTC-E的优越性。
A new method is proposed to estimate the direction-of-arrival (DOA) based on uniform linear array sampling and named as sparsity and temporal correlation exploiting (SaTC-E). By exploiting the structure information of source signals, including spatial sparsity and temporal correlation of sources, SaTC-E accomplishes DOA estimation with superior performance via block sparse bayesian learning methodology and grid refined strategy. SaTC-E is applicable into time-varying manifold scenario, such as wideband sources, time-varying array, provided that the array manifold matrix is determinable. It has improved performance with some other merits, including superior resolution, requirement for a few snapshots, no knowledge of source number, and applicability to spatially and temporally corrected sources. Real data tests and numerical simulations are carried out to demonstrate the advantages of SaTC-E.